Computer Engineering Commons^™

Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

Cs 415-01: Social Implications Of Computing, Leo Finkelstein

Computer Science & Engineering Syllabi

CS 415 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.

Cs 701-01: Database Systems And Design, Soon M. Chung

Computer Science & Engineering Syllabi

Introduction of DB design concepts and operating principles of database systems.

Cs 765-01: Foundations Of Neurocomputation, Mateen M. Rizki

Computer Science & Engineering Syllabi

This course is designed to help you develop a solid understanding of neural network algorithms and architectures. At the end of this course you should be able to read and critically evaluate most neural network papers published in major journals, (e.g. IEEE Transaction on Neural Networks, Neural Networks, and Neural Computation). In addition, you should be able to implement a broad range of network architectures and learning algorithms for a variety of applications.

Cs 790-02: Advanced Data Mining, Guozhu Dong

Computer Science & Engineering Syllabi

In this course we will cover advanced topics in data mining. We will study some classic papers as well as some important recent papers, on different types of applications, in this fast evolving field. Topics include: sequence mining, text mining, graph mining, data warehouse/cube mining, micro-array gene expression mining, privacy w.r.t. data mining, sensor network mining, data stream mining, time series mining, web mining, etc. The aim is to prepare you for advanced data mining research and application development.

Cs 781-01: Compiler Design And Construction Ii, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course is a continuation ofCS780 covering the theory and practice of compiler design. Topics emphasized are semantic analysis, code generation, and optimization.

Cs 302-01: Client Server Databases, Karen Meyer

Computer Science & Engineering Syllabi

No abstract provided.

Cs 790-01: Multimedia Coding And Communication (I), Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.

Cs 317-01: Numerical Methods Ii, Ronald F. Taylor

Computer Science & Engineering Syllabi

Continuation of CS/MTH/316/516. Introduction to numerical methods used in the sciences. Methods for solving matrix eigenvalue problems, initial value and boundary value problem for ordinary differential equations (ODEs). Study of standard types of partial differential equations (PDEs) with applications. Solution techniques for systems of nonlinear equations. Discussion of sources of error in numerical methods. Special topics and applications presented as schedule permits. Four credit hours.

Cs 891-01: Information Retrieval, Extraction, And Management, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course expects an advanced Ph.D. student to (i) review background material in the area of Information Retrieval, Extraction, and Management, and (ii) develop/deliver a presentation on a mutually acceptable topic.

Cs 409/609-01: Principles Of Artificial Intelligence, Shaojun Wang

Computer Science & Engineering Syllabi

No abstract provided.

Cs 466/666-01: Introduction To Formal Languages, Thomas Sudkamp

Computer Science & Engineering Syllabi

CS 466/666 is an introduction to formal language and automata theory. In this course we will examine methods for defining syntax of languages and recognizing patterns: the languages can be defined using a rule-based systems called grammars and patterns can be recognized by the computations of finite state machines. Along with presenting the fundamentals of these two topics, the course will develop and investigate the relationships between language definition and pattern recognition. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science.

Cs 405/605-01: Introduction To Database Management Systems, Guozhu Dong

Computer Science & Engineering Syllabi

Survey of logical and physical aspects of database management systems. Data models including entity-relationship (ER) and relational are presented. Physical implementation (data organization and indexing) methods are discussed. Query languages including SQL, relational algebra, relational calculus, and QBE are introduced. Students will also gain experience in creating and manipulating a database.

The course is mostly concerned with the design and querying of databases. A follow up course, CS701, is concerned with the design of system functions for managing databases.

Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp

Computer Science & Engineering Syllabi

The objective of this course is to use the formal algorithmic system provided by Turing machines as a tool to analyze the complexity of decision and optimization problems and the algorithms that solve them. The topics to be covered include

•the definition of the time and space complexity of a deterministic algorithm

•the classes of deterministic polynomial and non-polynomial time languages

•the complexity of nondeterministic algorithms

•the P=NP question (relationship between solvability by deterministic and
nondeterministic polynomial time algorithms)

•the implications oaf solution to the P=NP question

•NP completeness and examples of NP complete problems

•classes of NP complete problems …

Cs 340-01: Programming Language Workshop In Java, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course is designed as a self-study in Java. You are expected to work independently to learn the Java language and solve a set of programming problems assigned to you using latest Java SDK available at http:/java.sun.com or other software as approved by the instructor. There are no exams. We officially meet only once in a quarter. However, I will be available in the posted office hours for clarifications and general discussion of the programming assignments. Do not expect support in debugging badly documented cod~.

Ceg 468/668: Managing The Software Development Process, John A. Reisner

Computer Science & Engineering Syllabi

This course will cover some of the challenges and issues associated with managing software projects. Emphasis will occur on two fronts: (1) the software project manager's view (that is, what considerations and obstacles confront project managers during software development), and (2) the organizational view (that is, how organizations can foster a climate where software project management is performed smartly throughout an organization).

Ceg 435/635-01: Distributed Computing And Systems, Yong Pei

Computer Science & Engineering Syllabi

Study of process coordination, client-server computing, network and distributed operating systems, network and distributed file systems, concurrency control, recovery of distributed transactions, and fault-tolerant computing.

Ceg 725-01: Computer Vision Ii, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 499/699-01: Wireless Sensor Networks, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 460/660-01: Introduction To Software Computer Engineering, Robert J. Weber

Computer Science & Engineering Syllabi

This course is concerned with the techniques of designing and constructing large programs. Some of the required basic concepts necessarily have to be developed using small programs as examples. To this extent, we also study programming-in-the-small. The overall objectives are to present an overview of issues in the development of software, to discuss terminology, to illustrate via example case studies, and to give sufficiently detailed advice on how to develop quality software. Hands-on experience is emphasized through the use of homework and a class project.

Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 498-01: Team Projects I And Ii, John C. Gallagher

Computer Science & Engineering Syllabi

CEG 498 (Team Projects I and II) is a summative computer engineering design project course that builds upon previous engineering, science, mathematics and communications course work. CEG 498 projects are a minimum of two quarters in length and must be completed in groups of at least three students. Projects are selected under the guidance of the course instructor and are tailored to both student interest and formal classroom preparation. Students are evaluated both on their individual contributions as recorded in a graded engineering journals and on the quality of their collective efforts as reflected in group generated products.

Ceg 820-01: Computer Architecture Ii, Soon M. Chung

Computer Science & Engineering Syllabi

Continuation of CEG720 with more details on multiprocessor systems, parallel processing, and performance analysis.

Ceg 860-01: Object-Oriented Programming, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course motivates the need for object-oriented programming, and studies, in detail, object-oriented programming techniques, languages, and technology. The lectures will focus on the foundations of OOP, while the student presentations will focus on the applications and extensions of Object Technology.

Cs 206-01: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog

Computer Science & Engineering Syllabi

By the end of this course, the students will have a greater depth of understanding in the areas of word processing, spreadsheets, databases, and presentation software and web design using Microsoft Word, Microsoft FrontPage, Microsoft Excel, Access, and PowerPoint covering the following topics.
Microsoft Word 2003:
Tutorial 5: Creating Styles, Outlines, Tables, and Tables of Contents

Tutorial 6: Creating Form Letters and Mailing Labels

Microsoft Excel 2003:
Tutorial 5: Working with Excel Lists

Tutorial 6: Working with Multiple Worksheets and Workbooks

Tutorial 7: Working with Excel's Editing and Web Tools

Tutorial 8: Developing an Excel Application Appendix A: Working with …

Ceg 750-01: Microprocessor, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 461/661-01: Object-Oriented Programming And Design, Thomas C. Hartrum

Computer Science & Engineering Syllabi

Study of object-oriented design and programming. Programming topics emphasize the core concepts of encapsulation, inheritance, polymorphism, and dynamic binding. Additional topics include class organization, software maintenance, and design of reusable components. There is a project to be implemented in a modem object-oriented language such as Java or C++.

Cs 790-01: Introduction To Parallel Algorithms, Natsuhiko Futamura

Computer Science & Engineering Syllabi

Low-cost parallel computers such as PC clusters are becoming available, and many previously unsolvable problems can be solved using such computers. However, designing algorithms that perform well on parallel computers is often challenging. The focus of this course is on learning how to design algorithms for parallel computers and how to evaluate them.

Ceg 416-01: Matrix Computations, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modem software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering. A familiarity with MATLAB is useful, and the ability to program in languages such as CIC++ or Fortran is very important. A basic knowledge of matrix algebra is …

Cs 240-01: Computer Science I, L. Jane Lin

Computer Science & Engineering Syllabi

No abstract provided.